Santiago Miret

15 papers · 2019–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (42) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🗃️ Keyword Collector (78) 📈 Trend Setter 🌈 Renaissance Researcher (8) 💎 Century Club · Bronze ❓ The Questioner ⚡ Prolific Year · Productive

Venues

ICLR (5) ICML (5) EMNLP (3) ACL (1) JMLR (1)

Top co-authors

Bang Liu (4) Shauharda Khadka (3) Yu Song (3) Somdeb Majumdar (3) Yoshua Bengio (3) Alex Hernández-Garcı́a (2) victor schmidt (2) Huan Zhang (2) Kagan Tumer (2) David Rolnick (2)

Research topics

Deep Learning (10) Machine Learning (10) Learning Types · Machine Learning (8) Artificial Intelligence (6) Core AI (6) Architectures (5) Models (4) Natural Language Processing (3) Core Methods (3) Techniques (3) Interdisciplinary (2) Reinforcement Learning (2) Application Areas (2) Applications (2) Learning Types · Deep Learning (2)

Keywords

graph neural network (3) large language model (3) materials science (3) generative model (2) domain adaptation (2) evolutionary algorithm (2) language model (2) zero-shot learning (1) reinforcement learning (1) representation learning (1) text classification (1) question answering (1) named entity recognition (1) multimodal learning (1) policy optimization (1) contrastive learning (1) multi-objective optimization (1) continuous control (1) multi-task learning (1) knowledge base (1)

Papers

MatExpert: Decomposing Materials Discovery By Mimicking Human Experts ICLR 2025 Stiefel Flow Matching for Moment-Constrained Structure Elucidation ICLR 2025 SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models ICLR 2025 HoneyComb: A Flexible LLM-Based Agent System for Materials Science EMNLP 2024 PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design JMLR 2024 Searching for High-Value Molecules Using Reinforcement Learning and Transformers ICLR 2024 Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model EMNLP 2023 FAENet: Frame Averaging Equivariant GNN for Materials Modeling ICML 2023 HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science EMNLP 2023 MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling ACL 2023 Multi-Objective GFlowNets ICML 2023 ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts ICML 2023 Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning ICLR 2021 Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination ICML 2020 Collaborative Evolutionary Reinforcement Learning ICML 2019